public TetrisSimulator(GameState gameState = null)
{
var board = new Board();
var piece = new Piece();
var nextPiece = Tetriminos.GetRandom();
GameState = gameState ?? new GameState(board, piece, nextPiece)
{
StartLevel = 9
};
}
public TetrisSimulator InHeartMode()
{
var board = new Board();
var piece = new Piece();
var nextPiece = Tetriminos.GetRandom();
GameState = new GameState(board, piece, nextPiece)
{
StartLevel = 9, HeartMode = true
};
return(this);
}
public void SimpleSearchRandomBoards()
{
int maxHeight = 15;
for (int i = 0; i < 100; i++)
{
var board = TestHelper.GetRandomBoard(maxHeight);
var current = Tetriminos.GetRandom();
var next = Tetriminos.GetRandom();
var gameState = new GameState(board, current, next);
var result = _twoPieceSearch.Search(gameState);
}
}
private IEnumerable <GameState> GenerateGameStates(int number)
{
var random = new Random(123);
for (int i = 0; i < number; i++)
{
var board = new Board().Random(random);
var piece = new Piece(Tetriminos.GetRandom(random));
var nextPiece = Tetriminos.GetRandom(random);
var gameState = new GameState(board, piece, nextPiece);
yield return(gameState);
}
}
public void PredictiveSearchAllSeven_Parallel()
{
Tetrimino current = Tetriminos.GetRandom();
Task <SearchResult>[] tasks = new Task <SearchResult> [Tetriminos.All.Length];
foreach (var next in Tetriminos.All)
{
tasks[(int)next] = Task.Factory.StartNew(() =>
{
var gameState = new GameState(current, next);
return(_predictiveSearch.Search(gameState));
});
}
Task.WaitAll(tasks);
}
static TimeSpan MeasurePredictiveSearch(int number)
{
var gamestates = Enumerable.Range(0, number)
.Select(x => new Board().Random())
.Select(x => new GameState(x, Tetriminos.GetRandom(), Tetriminos.GetRandom()))
.ToList();
var heuristic = new YiyuanLeeHeuristic();
var search = new PredictiveSearch(heuristic);
var sw = new Stopwatch();
sw.Start();
foreach (var gamestate in gamestates)
{
var result = search.Search(gamestate);
}
sw.Stop();
return(sw.Elapsed);
}
